visualizing the information of a linked open data enabled research information system

A Visualizing the information

of a Linked Open Data enabled Research Information System

Anastasia Dimou1, Laurens De Vocht1, Geert Van Grootel2, Leen Van Campe2, Jeroen Latour3,

Erik Mannens1, and Rik Van de Walle1

1Ghent University – iMinds – Multimedia Lab2Flemish Government, Department of Economy, Science and

Innovation3IBM Netherlands

CRIS2014, Rome, Italy, 13th May 2014@natadimou anastasia.dimou@ugent.be ewi.mmlab.be/academic

Research Information Linked Open Data (RILOD)

Data source:Flemish research institutionsFlemish Academic Bibliographic Database (VABB)

Research Information Linked Open Data (RILOD) dataset

Research Information Linked Open Data dataset (RILOD)

Information for:22.006 researchers2.022 research groups24.635 projects608.729 publications

in total: > 400.000.000 triples

RILOD ontologies: CERIF + EWILOD + IWETO DISCIPLINES

Research Information Linked Open Data (RILOD) dataset

Graphs:oai information obtained from the OAI-PMH public repositories

fris information obtained from the CERIF FRIS database (projects)

tm information obtained from text mining of the publications

RILOD Architecture

RILOD triplestore

Research Linked Open Data

Advantagea substantial role in the context of research management,digital libraries and archivesideal to reveal links between resources

Research Linked Open Data

Disadvantagelack of understanding of the semantic technology limits users to optimally interpret and query the dataset

Exploring (Research) Linked Open Data

Demand for means todiscover, explore and analyze the research data

published as Linked Open Data

A visual demonstration of the resources represented

as Linked Open Dataand their links

to let usersexplore, discover and analyze

the dataset’s content

Visual representations for Linked Open Data

The user gets familiar with the dataset

no explicit assumption regarding the dataset

the dataset itself reveals its underlying model and the relationships between its resources

LOD/VizSuite for RILOD

Visual representations for Linked Open DataCommunities of practice in a discipline

http://ewi.mmlab.be/academic

Visual representations for Linked Open DataResearch Groups

http://ewi.mmlab.be/academic

Visual representations for Linked Open DataResearch Networks around a researcher

http://ewi.mmlab.be/academic

Visual representations for Linked Open DataPaths between Researchers

http://ewi.mmlab.be/academic

Visual representations for Linked Open DataPaths between Researchers

http://ewi.mmlab.be/academic

LOD/VizSuite Timelines

http://ewi.mmlab.be/academic

LOD/VizSuite architecture

http://thedatatank.com/http://ceur-ws.org/Vol-996/papers/ldow2013-paper-04.pdf

LOD/VizSuite for RILOD

Monitoring...

the research activity Research Networks

the existence and the nature of collaborations → Collaboration networks and Communities of practice

the evolution over time → Timelines

complementary information → Charts

LOD/VizSuite technical evaluation

LOD/VizSuite impact evaluation

74% 79% 82% 88%Explorability Complexity Usefulness Learnability Potential Innovativeness LOD Quality Transparency

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LOD/VizSuite potential LOD/VizSuite scope

Exploring (Research) Linked Open Data

Provide the means todiscover, explore and analyze the research data

published as Linked Open Data

reuse and exploitation

Exploring (Research) Linked Open Data

Reveal the value of Open Data in the field of academia/research

provide valuable insights to government agencies, businesses, and general

public.

Future Linked Open Data exploration workflow

follow up improvements on...the user interface

improve the user interaction with the visualizations

the exploration over the aggregated entitiesinline expansion of the aggregated entities

the time aspect demonstrate visualizations considering the time

parameter

http://ewi.mmlab.be/academic

Future Linked Open Data exploration workflow

Integrate

LOD/VizSuite + ResXplorer

offer a graph-based interactive visual workflowfor the exploration of Research Linked Open Data

http://dl.acm.org/citation.cfm?id=2579039

http://ResXplorer.org http://ewi.mmlab.be/academic

Conclusions

Novel visual representations for exploring research resources

User interfaces based on graph visualizations and enhanced with optimized search in Linked Data.

Enables to view and navigate through combined aspects of research data

to come up spontaneously with observations whose reasoning can be directly investigated

Visualizing the information of a Linked Open Data enabled Research

Information System

LOD/VizSuite: http://ewi.mmlab.be/academic EWILOD: http://ewilod.be/ewilod/html/sparql-test.html

LOD Experimental platform project: http://ewi.mmlab.be

Contact usAnastasia Dimou anastasia.dimou@ugent.be @natadimou

Geert Van Grootel geert.vangrootel@ewi.vlaanderen.be @Department_EWI